Miscellaneous

Data Analytics

Course Overview
This course provides an overview of data analytics with a specific focus on artificial intelligence, big data, and the technologies that assist in the audit process. This course also addresses various data analytic techniques, the blockchain, as well as a discussion of the types of audit sampling methods and journal entry testing procedures.



Learning Objectives:


  • Recognize key principles and practices with respect to data analytics
  • Identify what is meant by artificial intelligence and big data
  • Recognize key principles related to the blockchain and cryptocurrency
  • Differentiate between various types of CAATs and sampling techniques
  • Identify various types of data analytic techniques

Content Partner:

SmartPros Ltd.

SmartPros Ltd. is a leader in online and offline continuing education for
accounting, finance and engineering professionals. With over 2,000 hours of
content, SmartPros has been providing mandatory continuing education
products since 1981. SmartPros provides services and content to its
professional and corporate clients, in a variety of media including Web, CD
ROM, and video. In the accounting market, SmartPros also has a predominant
news and information portal which receives 200,000+ visits per month and
provides services to over 100,000 subscribers. SmartPros' customers include
50% of the Fortune 500, as well as the major firms and associations in each
of its professional markets.


Prerequisites/Advanced Preparation:

None

Speaker / Author:

John Tate is a Data Scientist and Power BI expert at Withum. John works with clients on data management and visualization as well as Power BI implementation. He has experience with data analysis and digital analytics, and is passionate about finding ways to turn data into actions and insights.

Software & Hardware Requirements:

  • 56k or Greater Internet Connection
  • Adobe Acrobat® Reader for the .pdf files
  • Adobe® Flash® Player 9 or higher
  • Modern DHTML Compatible Browser
  • Ram: 256 MB minimum
  • Windows or Mac OS

Buy

Price (USD)

Standard Rate: $49.90

Details

Course Code : 99TAT01

Release Date : 10/08/2018
Expire Date : 10/08/2020
Credits :
CPE 2.00
QAS 2.00

Length : 1hr 40min
Course Level : Basic
Course Type : Self-Study
Passing Grade : 70%
Format Type : eLearning
Mobile Compatible
Field Of Study : Information Technology

Theme : Miscellaneous

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